Developing AI Algorithms for Generating and Segmenting Multimodal MRI Brain Images Across Species
On Demand Session
Webinar Overview
Accurately segmenting brain structures in magnetic resonance imaging (MRI) data is essential for subsequent analysis. However, there is currently a lack of generalizable methods for extracting brain tissues from multimodal MRI data across species, including rodents, nonhuman primates, and humans. Therefore, the development of a flexible and generalizable method would enable researchers to analyze and compare experimental results more effectively. Here, we introduce deep learning-based networks for generating and segmenting multimodal MRI brain images across species, modalities, and MRI scanners.
On Demand Session